Logistic regression is the most popular Machine Learning algorithm, it is a supervised learning algorithm that is used in binary classification problems while our target variable is categorical and it is a process of modeling the probability of a discrete outcome given an input variable. In this video, we will be implementing logistic regression using Python.

The method of modeling the probability of a discrete result given an input variable is known as logistic regression. The most frequent logistic regression models have a binary outcome, which might be true or false, yes or no, and so forth.

Implementation of Logistic Regression: https://www.geeksforgeeks.org/implementation-of-logistic-regression-from-scratch-using-python/